Greenhouse ·
full-timeData Scientist, Algorithms - Pricing - Rider Engagement
Lyft · San Francisco, CA
Lyft operates a transportation network company focused on connecting riders and drivers through its digital platform. This Data Scientist role within the Pricing and Rider Engagement team centers on the mathematical and algorithmic foundations of the company's marketplace. You will be responsible for developing and deploying machine learning and optimization models that manage incentive offers, budget allocation, and real-time pricing levers. The position requires a hands-on approach to building production-grade code, collaborating with software engineers to integrate algorithms into live systems, and designing experiments to measure marketplace health. You will work cross-functionally with product and engineering teams to frame complex business problems, perform deep-dive data analysis, and influence product roadmaps. This role is well-suited for a data-driven professional with an advanced degree in a quantitative field such as statistics, operations research, or computer science. The ideal candidate possesses significant experience in building scalable models, proficiency in Python, and the ability to communicate technical findings to both technical peers and executive leadership.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in a dynamic environment, and partner closely with cross-functional teammates to tackle a variety of highly open-ended business problems to build the world’s best transportation solutions. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives, and Rider Engagement is an integral part of that. Rider Engagement manages one of the most impactful marketplace and business levers, driving both short term and long term business outcomes. The team owns the algorithms and systems behind incentive offers, budget management, operational control and real-time optimization. We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product, Engineering and Analytics on a cross-functional team to develop and iterate incentive levers, prototype and build end-to-end solutions that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers. Responsibilities: Partner with other Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production code. Collaborate with Software Engineers to implement algorithms in live systems and ensure the robustness of the systems Develop and fit statistical, machine learning, or optimization models. Deploy production-grade models that solve business problems. Design, implement, and analyse different types of experiments, and facilitate data-driven and informed decision making and prioritization Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Perform deep dive analysis to gain a deeper understanding of the problem and uncover new product and business opportunities Drive collaboration and coordination with cross-functional teams. Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership. Experience: M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields 1-4+ years professional experience for PhDs or 3-5+ years for Master’s in a Data Science role in a technology company setting Proven experience with building and evaluating optimization or machine learning models Proficiency with Python and working in a production coding environment Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $128,000-160,000/year. Salar
| Role | Data Scientist, Algorithms - Pricing - Rider Engagement |
|---|---|
| Company | Lyft |
| Location | San Francisco, CA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-22 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4More at Lyft
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